For screening records and managing the review workflow, Covidence is available for Harvard investigators. To make use Harvard's institutional account:. If you don't already have a Covidence account, sign up for one at:Make sure you use your harvard.edu email address. Then associate your account with Harvard's institutional access at:Use the same address you used in step 1 and follow the instructions in the resulting email.Once your account is linked to the Harvard account, you will have access to the full range of Covidence features and can create unlimited reviews. You can do this when logged in to your individual Covidence account by going to your account dashboard page and clicking the 'Start a new review' button. This will take you to a new page where you can select the Harvard account to set up the new review.Covidence is a drop-dead easy tool for screening abstracts and studies. There are Android and iOS mobile apps available that make it easy to screen records anywhere, anytime.
It includes facilities for data extraction and exporting to RevMan.We use EndNote for collecting bibliographic records, for de-duplication, and for organizing the initial screening of systematic reviews. It isn't as smooth as Covidence but can be used effectively. Of course, it's also useful for writing.Need more, or looking for alternatives?
See the, a searchable database of tools to support systematic reviews and meta-analysis.
A one-day workshop on software Comprehensive Meta-Analysis. The statistical theory behind CMA is briefly described. Illustrates the use of the software with data on the effects of exercise on depression. Find data in Excel files. Some files were fabricated by me. Most are copied from published meta-analyses. Meta-analysis downloads. In this section you can download the MetaEasy Excel add-in, described in the Journal of Statistical Software (click here for the paper). The current version is 1.0.4 (see the changes and fixes document) and the module has been updated to work with Excel 2007 & 2010.